106 results about "Surface geometry" patented technology

The invention provides a multi-source data fusion intelligent control method for logarithmic curved surface machining, and relates to the technical field of data processing, and the method comprises the steps: 1, in a product machining process, through a geometric morphology detection sensor, a material characteristic perception sensor and a cutting state monitoring sensor, a cutting state is detected; obtaining multi-dimensional data reflecting the geometric morphology, the material characteristics and the cutting state of the curved surface, and forming a multi-source information stream; 2, carrying out real-time fusion on the multi-source information flow, and generating a comprehensive state description through space-time alignment and association of sensor data; the method comprises the following steps: converting data reflecting the geometric morphology of a curved surface into a point cloud set, identifying a feature point of a curvature mutation region as an original reference point, constructing two space reference straight lines, and calculating a space included angle between the two space reference straight lines to obtain an included angle region; through multi-source data fusion and intelligent control, the precision, efficiency and stability for logarithmic curved surface machining are improved, and the machining cost and the error rate are reduced.

The invention discloses a cross-source data three-dimensional reconstruction method and system based on improved Gaussian sputtering, and the method comprises the steps: collecting an unmanned plane inclined image and a ground panoramic image of a target region, and constructing a time-space correlation data set; based on multi-view geometric constraints, space-time coding matching point pairs are established through an adaptive feature pyramid, intelligent incremental cross-source data sparse reconstruction is carried out, and point cloud and camera parameters are output; adopting improved Gaussian sputtering, compressing a three-dimensional Gaussian kernel into a two-dimensional Gaussian primitive through double tangent vector constraint, and fitting surface geometry to realize multi-scale reconstruction; and optimizing primitive parameters by using a differentiatable renderer, completing multi-scale fine reconstruction through gradient back propagation, and generating a high-precision three-dimensional model. According to the method, multi-scale accurate geometric prior input and accurate camera poses are provided for three-dimensional reconstruction, the dependence on professional manual operation in a traditional three-dimensional reconstruction method is greatly reduced, and meanwhile, the geometric accuracy and visual fidelity of a reconstruction result are remarkably improved.

The invention provides a cylinder processing cutter path adaptive optimization generation method, which belongs to the technical field of cylinder processing, and adopts fractal dimension analysis to identify surface geometric complexity and determine a minimum repetitive unit, and applies a four-color theorem to carry out non-intersection area division on the surface, so as to improve the processing precision of the cylinder processing cutter path. Multi-axis linkage machining parameters are initialized, global path planning and cutter axis vector optimization and collision detection are performed based on an improved Di jkstra algorithm, path adaptive adjustment is performed according to local curvature change of a minimum fractal matrix, a game model is established, and coevolution of a double-layer game model is realized by adopting a cross optimization rule. And finally, an optimized tool path NC code containing the position coordinates, the attitude angle and the feeding speed is generated, and the technical problem that the machining efficiency and the surface quality are difficult to consider in tool path planning under the complex geometrical characteristics of the cylinder surface is solved.

The invention discloses a path planning method and system for curved surface integrated conformal jet printing, and belongs to the field of additive manufacturing. According to the method, the geometric data of the non-deployable curved surface are obtained and converted into the discretized grid model, then the plane pattern is designed and mapped to the three-dimensional curved surface, the mapped pattern is locally optimized, and the complete printing area model is generated. Path planning is divided into initial jet printing path generation and five-axis linkage motion path planning, conformal characteristics are achieved through an adaptive interpolation algorithm and NURBS curve optimization, five-axis motion parameters are calculated based on an inverse kinematics algorithm, and the positioning relation between a jet printing head and a curved surface is kept through the RTCP technology. The method solves the problems of precision and path planning efficiency in complex curved surface manufacturing, and is suitable for manufacturing heterogeneous complex curved surface functional structures in the fields of aerospace, medical instruments and the like.

The invention provides an injection molding part surface flaw detection method and device based on double-model collaboration, and the method comprises the steps: carrying out the local abnormal reflection feature analysis of a multi-view optical image collected on the surface of an injection molding part based on a first detection model, and obtaining a candidate flaw region; performing spatial positioning in the multi-view optical image based on the candidate flaw area to obtain a multi-view candidate image segment; performing surface geometric continuity analysis on the multi-view candidate image segments based on a second detection model to obtain a three-dimensional surface geometric consistency result; carrying out authenticity discrimination on the candidate flaw area based on a three-dimensional surface geometric consistency result to obtain a real flaw area; wherein the first detection model is used for capturing an optical response model of local abnormal reflection characteristics; the second detection model is a stereoscopic vision model for analyzing the geometric continuity of the multi-view lower surface. According to the invention, the false alarm rate of surface defect detection of the injection molded part under a complex surface condition is reduced.

The invention belongs to the technical field of SPH modeling, and particularly discloses an SPH particle model and surface geometric model automatic generation method and system, and the method comprises the steps: constructing raster data of a terrain elevation model and a source thickness distribution model, carrying out the data standardization processing, and achieving the unification of the spatial reference of the terrain elevation model and the source thickness distribution model; resampling the resolution of the standardized raster data to ensure that the size of the raster unit is matched with the physical characteristics of the particles; generating terrain boundary particles by adopting a hierarchical generation algorithm, and completing material source particle filling; and based on the grid vertex coordinate set, generating a surface geometric model in an STL format, outputting particle coordinates and an STL file meeting the requirements of an SPH solver, and completing automatic generation of the SPH particle model and the surface geometric model. The problems that an existing SPH modeling method is low in processing efficiency, high in data alignment error and insufficient in model surface geometric accuracy are solved.

The invention belongs to the technical field of vision measurement, and discloses a high-reflection curved surface reconstruction method and system based on multi-view point cloud fusion and optical optimization. The method comprises the following steps: acquiring multi-source heterogeneous data such as a stripe image, a polarization image and anchor point depth, and mapping the multi-source heterogeneous data to a unified workpiece coordinate system to form a standardized data set; calculating the normal direction of a sampling point based on data, establishing a slope field, and recovering the height through integration to obtain a geometric initial description of a curved surface; the method comprises the following steps: constructing a candidate light path through reverse ray tracing, generating a credibility weight in combination with a polarization degree, a reflection frequency, uncertainty and an incident angle index, and normalizing the credibility weight in a local neighborhood; fusing multi-source point clouds under the constraints of weights and anchor points, establishing a parameterized curved surface model, and constructing a joint optimization objective function containing geometric errors and optical consistency errors; and further adaptively adjusting a weight rule based on residual distribution, carrying out closed-loop iterative optimization, and outputting the initial surface shape of the high-reflection curved surface with high precision and good stability.

The invention discloses a pitching side type material taking machine material positioning method based on image recognition. The method comprises the following steps that a structured light sequence is projected to a material stacking area according to a preset coding grating mode; synchronously acquiring multi-view image data of the surface of the stockpile; executing preprocessing; spatial domain processing is carried out, geometric morphology information of the surface of the stockpile is extracted, and height distribution of the surface of the stockpile is analyzed; frequency domain processing is carried out, and light intensity distribution change rule information is extracted; performing fusion processing; time sequence three-dimensional reconstruction operation is executed, and a three-dimensional stockpile surface model is constructed; and determining three-dimensional coordinates of the material target area, and generating material positioning result data. Structured light reconstruction and multi-modal feature fusion are fused, high-precision three-dimensional positioning of the stacked materials is achieved, and the method has the advantages of being precise, robust and high in real-time performance.

A method and a registration device for sampling relevant surface points of a subject for a medical navigation system is presented. From a plurality of surface points of the subject, relevant surface points are accepted and non-relevant surface points are discarded. The method allows the surface geometry acquisition of a subject to be improved. For this purpose, additional information of the surface points is acquired and assigned to the respective surface point for validating each surface point.

The invention discloses a multi-view three-dimensional reconstruction method for a slender object based on curve guidance. According to the method, geometric prior and a deep learning segmentation network are fused, two-stage foreground extraction, a curve-guided motion recovery structure (SfM) and a surface optimization module capable of differential Poisson reconstruction are provided, and a set of complete processing flow is established for the problem that a slender and weak-texture object is difficult to accurately reconstruct. The method comprises the following steps: acquiring a multi-view image through a consumer-level terminal and performing frame extraction to obtain an input data set; generating a high-quality foreground mask by utilizing depth estimation and semantic segmentation; performing curve-guided SfM initialization based on the foreground skeleton curve to realize joint estimation of the camera pose and the sparse three-dimensional curve; carrying out surface geometric optimization through a micro Poisson equation and differentiable grid rendering; and designing a multi-branch loss function fusing luminosity, mask, regularization and Gaussian rendering supervision to train the model. Finally, the method can output a three-dimensional reconstruction result of the slender structure with high geometric accuracy, strong structural integrity and smooth surface, and has good robustness and application value.

In various examples, a deep three-dimensional (3D) conditional generative model is implemented that can synthesize high resolution 3D shapes using simple guides—such as coarse voxels, point clouds, etc.—by marrying implicit and explicit 3D representations into a hybrid 3D representation. The present approach may directly optimize for the reconstructed surface, allowing for the synthesis of finer geometric details with fewer artifacts. The systems and methods described herein may use a deformable tetrahedral grid that encodes a discretized signed distance function (SDF) and a differentiable marching tetrahedral layer that converts the implicit SDF representation to an explicit surface mesh representation. This combination allows joint optimization of the surface geometry and topology as well as generation of the hierarchy of subdivisions using reconstruction and adversarial losses defined explicitly on the surface mesh.

Denoising images rendered using Monte Carlo sampled ray tracing is an important technique for improving the image quality when low sample counts are used. Ray traced scenes that include volumes in addition to surface geometry are more complex, and noisy when low sample counts are used to render in real-time. Joint neural denoising of surfaces and volumes enables combined volume and surface denoising in real time from low sample count renderings. At least one rendered image is decomposed into volume and surface layers, leveraging spatio-temporal neural denoisers for both the surface and volume components. The individual denoised surface and volume components are composited using learned weights and denoised transmittance. A surface and volume denoiser architecture outperforms current denoisers in scenes containing both surfaces and volumes, and produces temporally stable results at interactive rates.

The invention relates to the technical field of three-dimensional modeling, and provides a lightweight hierarchical digital twin modeling and rendering method for a large-scale scene. The method comprises the following steps: analyzing the surface geometry of an original high-precision three-dimensional model, calculating and extracting curvature characteristics of the high-precision three-dimensional model corresponding to each local area, and constructing curvature response distribution through the curvature characteristics; screening and judging each model region corresponding to the original high-precision three-dimensional model based on the obtained curvature response distribution and the dynamic curvature threshold, and obtaining a second key detail region; generating an independent multi-resolution detail enhancement data block for the second key detail area, generating a plurality of data versions with gradually decreased detail degrees for the same second key detail area, and forming a multi-resolution detail library capable of being directly indexed; in the real-time rendering stage, seamless fusion rendering is completed according to the detail data blocks and the basic main body model, and unification of overall scene light weight and local detail high fidelity is achieved.

The invention relates to the technical field of medical robots, in particular to a laser treatment auxiliary robot and an auxiliary method thereof, and the method comprises the following steps: scanning a motion area, and obtaining obstacle detection records by calculating point cloud density, boundary form and curvature change parameters and identifying obstacles in the motion area. According to the method, through multi-layer point cloud scanning, the recognition precision of the mechanical arm on the obstacles in the movement area is optimized, the space sensing capacity is improved, the real-time data of the joint torque sensor are combined, the accuracy of collision risk assessment is enhanced, the speed and torque are dynamically adjusted, and the movement safety and stability are improved; according to the method, treatment starting coordinates are extracted by adopting tissue deformation in unit time, a surface curvature change value and a boundary shortest distance, the matching degree of a treatment area is improved, laser treatment is more accurate, a motion path is optimized by combining a surface geometrical shape and real-time operation feedback, trajectory mutation is reduced, and safety and consistency of a treatment process are improved.

The invention discloses a method and a system for rapidly evaluating aerodynamic performance of an automobile body appearance. The method specifically comprises the following steps: generating a geometric curved surface sample of an automobile body surface by adopting a parameterized design method; carrying out fluid numerical analysis on a vehicle body external flow field; an encoder for vehicle body appearance surface geometry is established, and the geometric structure of the vehicle body surface is recognized; establishing a prediction model based on a multi-scale map neural network, and performing geometric data memory, transmission and updating on the flow field of the vehicle body appearance surface; and outputting vehicle body aerodynamic characteristic parameters (a resistance coefficient, a lift coefficient and a lateral force coefficient) and an error level. Compared with the prior art, the neural network algorithm is ingeniously designed, rapid prediction of the aerodynamic characteristic parameters of the automobile body is achieved, the method can be used for rapid performance evaluation in the automobile body development process, the design efficiency is improved, and the development cost is reduced.

The invention relates to the technical field of computer numerical control, in particular to an automatic control method and system for wood pattern surface treatment, and the method comprises the following steps: extracting space coordinates and curvature characteristics of each point on the surface of a wood pattern through three-dimensional scanning data, and calculating a normal vector and a neighborhood curvature variation amplitude; according to the method, the surface space coordinates, the curvature features and the normal vector of the wood pattern are extracted, the neighborhood curvature change amplitude is combined, the recognition precision of the surface geometric characteristics is remarkably improved, region classification and parameterization division are supported, and by dynamically planning a tool motion path, generating an interpolation path in a low-curvature region and optimizing step length distribution in a high-curvature region, the surface geometric characteristics of the wood pattern are recognized. The method effectively adapts to surface complexity, improves path planning flexibility and machining consistency, reduces error accumulation by analyzing path point curvature change connection paths and optimizing path point sequences, meanwhile, dynamically adjusts the paths by detecting tool loads and machining resistance, accurately controls high-error areas, and achieves overall improvement of surface smoothness and shape precision.

A surgical system and method for markerless intraoperative navigation is provided. The system can includes a structured light system that can be utilized to intraoperatively sense three-dimensional surface geometry. The computer system is configured to segment a depth image to obtain surface geometry data of an anatomical structure embodied within the depth image, register the surface geometry data of the anatomical structure to a model, and update the surgical plan according to the registered surface geometry data. The surgical system is an endoscopic surgical system.

The invention discloses a tunnel single-layer lining flatness multi-parameter joint characterization method, and relates to the technical field of tunnel single-layer lining flatness characterization, the flatness of the surface of a tunnel single-layer lining is calculated and jointly characterized by the following steps: using a three-dimensional laser scanner to collect point cloud data of the surface of the tunnel lining; and preprocessing the point cloud data to generate the point cloud data of the tunnel contour surface. According to the invention, through the three-dimensional laser scanning technology and multi-parameter conjoint analysis, accurate measurement of the tunnel lining flatness is realized, and the evaluation precision and reliability are improved. Compared with a traditional method, three-dimensional scanning comprehensively captures geometric changes of the lining surface, comprehensive quality evaluation is provided in combination with indexes such as the fractal dimension, the Z2 value and the JRC value, construction is helped to be monitored in real time, uneven areas are reduced, problems can be recognized in advance, repeated repair is avoided, construction efficiency is improved, cost is reduced, and economic benefits of a tunnel project are improved.

The invention discloses a small-scale workpiece three-dimensional reconstruction method based on laser line scanning and application. The three-dimensional reconstruction method comprises the following steps: analyzing a key surface, and planning a scanning path and a scanning angle; performing multi-view scanning to obtain multi-view point cloud data; preprocessing to obtain preprocessed point cloud data; carrying out point cloud registration and splicing to obtain registration and splicing data; and generating a reconstructed high-precision triangular mesh surface as a three-dimensional reconstruction model. According to the technical scheme of multi-view scanning path planning, collection of point cloud data is more accurate and reliable, and parameters do not need to be frequently adjusted due to working condition changes; meanwhile, a multi-view point cloud registration and splicing mechanism and a point cloud feature extraction architecture of a U-net architecture are adopted, more details are reserved for surface geometric features of workpiece point cloud, meanwhile, a curved surface is implicitly expressed through a symbol distance function, and the method has remarkable advantages for digital-analog comparison of a workpiece with a complex profile. Three-dimensional shape matching and error evaluation can be efficiently and accurately carried out.

The application provides an intelligent visual detection method and device for component defects, which comprises the following steps: loading a light standard three-dimensional model corresponding to a target component from a backend server; synchronously collecting real-time image data and depth data of the component on a conveying mechanism or a clamping mechanism; generating a real-time point cloud model for describing surface geometric features of the component based on the real-time image data and the depth data; matching the real-time point cloud model with the light standard three-dimensional model to locate a point area of interest in a high-defect area of the component; spatially mapping and fusing texture features in the real-time image data and the depth data in the point area of interest; and identifying defects in the point area of interest of the component through a joint probability model. The application can realize high-speed and accurate defect detection of components without complex feature engineering, and greatly reduces the maintenance difficulty and implementation cost of the algorithm.

The invention provides a sealing assembly completion state solving method and device, and relates to the technical field of sealing element design. Comprising the following steps: acquiring geometric models of an elastic component and a matched component thereof, constructing an assembly initial configuration, performing finite element discretization on a sealing assembly system, and setting an integral point in the elastic component; in the assembly iteration process, corresponding projection points are determined based on the integration points and the component combination where the integration points are located, and the contact force at the integration points is calculated in combination with material parameters, the positions of the projection points and the surface geometric information of the matched components; and uniformly assembling the contact force and the internal elastic force generated by the elastic component under the current configuration into an overall force balance relationship for nonlinear iterative solution until a preset convergence condition is met, thereby obtaining a sealing assembly completion state. According to the method, the sealing assembly completion state can be stably solved under the condition that initial geometric interference exists, and the convergence and calculation stability of assembly simulation are improved by uniformly processing the contact force and the internal elastic force.

The invention discloses an end-to-end field optimization surface reconstruction method based on Gaussian sputtering guidance, and belongs to the field of computer vision and computer graphics. Comprising the following steps: 1) Gaussian guidance field optimization: defining an implicit symbol distance field by using a parameterized MLP network, and initializing and optimizing a surface through a microcosmic contour surface extraction method; gaussian units are bound with the extracted surface triangular patches, the positions of the patches are parameterized through the vertexes of the patches, rotation and scaling are carried out, regularization constraints based on the minimum wrapped ellipse and the distribution entropy are introduced, it is ensured that the Gaussian units are accurately attached to the surface and evenly distributed on the surface, and a result obtained through rendering guides field optimization. And 2) local multi-resolution: identifying surface voxels based on the optimized symbol distance field to carry out adaptive octree subdivision so as to realize multi-resolution improvement. And 3) adopting an inner and outer double-layer cyclic training architecture, optimizing the symbolic distance field and the grid geometric parameters on the outer layer, and optimizing a bound Gaussian unit on the inner layer to realize end-to-end joint optimization of surface geometry and Gaussian rendering.

This invention relates to the field of image processing technology and discloses a method for target 3D reconstruction and automated model generation. The method includes: acquiring multi-view original point cloud data of the target object, and obtaining a simplified point cloud dataset through voxel filtering and downsampling; dividing the data into smooth regions and sharp edge feature sets based on curvature characteristics, performing smooth fitting and edge-preserving reconstruction respectively, and then generating a composite mesh model through vertex merging and mesh stitching; performing topological structure analysis on the model, detecting and optimizing non-manifold elements and topological holes to obtain an initial mesh model; parametrically mapping and automatically unfolding the texture of the model surface geometric manifold characteristics, and fusing and binding the unfolded texture map with the initial mesh model to finally complete the 3D reconstruction of the target object; this invention can improve the efficiency of target 3D reconstruction and automated model generation.

This invention relates to the field of defect detection technology, specifically a method and system for detecting defects in valve sealing surfaces. The method extracts the position coordinates, geometric contours, and depth parameters of each abnormal morphology region from the three-dimensional surface morphology data of the sealing surface of the valve under inspection; determines the theoretical sealing contact area of ​​the sealing surface in the valve-closed state and spatially maps it with the position coordinates of each abnormal morphology region to filter out the abnormal regions to be judged; calculates the effective contact surface geometry after elastic deformation of the sealing surface under working conditions; based on the depth parameters and effective contact surface geometry of each abnormal region to be judged, if it is determined that the abnormal region to be judged is not completely covered by the effective contact surface after elastic deformation compensation, then the abnormal region to be judged is marked as a functional defect region and the detection result is output; accurately determining whether the abnormal morphology regions on the sealing surface constitute functional defects affecting the sealing function improves the accuracy of valve sealing surface defect detection.

The invention discloses a direct buried pipe foam glass curved surface non-contact type dielectric coating thickness measuring method, and relates to the technical field of non-destructive detection.The direct buried pipe foam glass curved surface non-contact type dielectric coating thickness measuring method comprises the steps that an in-situ calibration reference area is introduced, and a real-time calibration mechanism is established, so that a measuring system can dynamically adjust an internal calculation model according to the actual working condition on site; the absolute precision of a measurement result and the adaptive capacity in a variable field environment are improved, the reliability of each measurement is quantitatively evaluated by generating a credibility index, and a closed-loop remeasurement and data fusion process is established based on the reliability, so that the influence on the judgment of the overall coating quality due to local measurement abnormality is avoided, and the measurement accuracy is improved. According to the invention, the analysis of the geometric morphology of the curved surface is combined with the planning of the measurement path, the intelligent distribution of measurement resources is realized, and the system has the capability of actively coping with the interference of the local surface through the multi-modal dynamic sensing technology.

The application relates to the technical field of image recognition, and discloses a packaging box damage degree online detection method and system based on image recognition, which comprises the following steps: carrying out spatial phase unfolding on a package phase diagram to obtain an absolute phase distribution diagram; generating a surface geometric deformation phase diagram; carrying out spatial alignment on the surface geometric deformation phase diagram to obtain local three-dimensional point cloud data; taking points with a normal vector mutation exceeding a preset threshold value in the local three-dimensional point cloud data as potential damage edge points, and marking points with a maximum principal curvature and minimum principal curvature difference exceeding a preset threshold value as potential deformation points; taking the potential damage edge points as seed points and taking the potential deformation points as growth constraint conditions to iteratively grow in the local three-dimensional point cloud data, and clustering points with continuity and similar geometric mutation characteristics into a damage area; and outputting a damage judgment result according to geometric parameters of the damage area; and the application can improve the efficiency of the packaging box damage degree online detection based on image recognition.

The application discloses a kind of based on image recognition's pitch side formula material positioning method of material handling machine, comprising the following steps: according to preset encoding grating mode, structure light sequence is projected to stacking area;Synchronous acquisition multi-view image data of stacking surface;Execute pre-processing;Carry out spatial domain processing, extract stacking surface geometry information, and analyze stacking surface height distribution;Carry out frequency domain processing, extract light intensity distribution variation law information;Carry out fusion processing;Execute timing three-dimensional reconstruction operation, construct three-dimensional stacking surface model;Determine the three-dimensional coordinates of material target area, generate material positioning result data.The application fuses structure light reconstruction and multimodal feature fusion, realizes stacking material high-precision three-dimensional positioning, with the advantages of accurate, robust and strong real-time.

A method of determining the orientation of a 3D Model to be generated by an additive manufacturing apparatus having a vat for holding photocurable material; and a platform for holding the 3D object corresponding to the 3D model. The platform is relatively movable with respect to the vat and the method includes a step of defining the surface geometry of the 3D model and the surface geometry includes surface segments si.

Techniques for generating a stylized drawing of three-dimensional (3D) shapes using neural networks are disclosed. A processing device generates a set of vector curve paths from a viewpoint of a 3D shape; extracts, using a first neural network of a plurality of neural networks of a machine learning model, surface geometry features of the 3D shape based on geometric properties of surface points of the 3D shape; determines, using a second neural network of the plurality of neural networks of the machine learning model, a set of at least one predicted stroke attribute based on the surface geometry features and a predetermined drawing style; generates, based on the at least one predicted stroke attribute, a set of vector stroke paths corresponding to the set of vector curve paths; and outputs a two-dimensional (2D) stylized stroke drawing of the 3D shape based at least on the set of vector stroke paths.

Computer-implemented methods, computing devices, and articles of manufacture for enhancing video streaming are provided. An example method includes receiving, by a first computing device, a plurality of input images forming the video stream; for each input image of the plurality of input images: applying a geometric model to the input image to determine a surface orientation map indicative of a distribution of illumination on the object in the input image based on a surface geometry of the object; applying an ambient light estimation model to the input image to determine a direction of synthetic illumination to be applied to the input image to enhance at least a portion of the input image; applying a light energy model to determine a quotient image indicative of an amount of light energy to be applied to each pixel of the input image based on the surface orientation map and the direction of the synthetic illumination; and enhancing a portion of the input image based on the quotient image to generate a reilluminated image; and displaying the plurality of reilluminated images as an enhanced video stream.